Triple
T2232343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | See No Evil, Hear No Evil |
E49196
|
entity |
| Predicate | hasTitlePun |
P36401
|
FINISHED |
| Object | reference to proverb "See no evil, hear no evil, speak no evil" |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: reference to proverb "See no evil, hear no evil, speak no evil" | Statement: [See No Evil, Hear No Evil, hasTitlePun, reference to proverb "See no evil, hear no evil, speak no evil"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTitlePun Context triple: [See No Evil, Hear No Evil, hasTitlePun, reference to proverb "See no evil, hear no evil, speak no evil"]
-
A.
usesTitle
Indicates that one entity refers to or addresses another entity using a specific title or formal designation.
-
B.
containsTitle
Indicates that one entity includes or holds another entity’s title as part of its content or metadata.
-
C.
titlePunctuation
Indicates that a title includes specific punctuation marks or follows a particular punctuation pattern.
-
D.
hadTitle
Indicates that an entity held or was assigned a specific title or formal designation.
-
E.
hasOrdinaryTitle
Indicates that an entity holds a standard, non-noble or non-honorific title associated with its role or position.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a88aa84bdc819086df50e9c20b301e |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc06d26bc8190a85ddb6312d2df08 |
completed | March 7, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69abbdadbb0c8190b3a1ede31b8acbfa |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbe4252688190944491a450383450 |
completed | March 7, 2026, 5:57 a.m. |
Created at: March 4, 2026, 7:47 p.m.